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Magnetically induced stiffening for soft robotics
Leah T Gaeta1, Kevin J McDonald1, Lorenzo Kinnicutt1
1Department of Mechanical Engineering, Boston University, Boston, MA 02215, USA. tranzani@bu.edu.
Soft Matter
|March 23, 2023
Summary
This study introduces a novel magnetically-controlled stiffening method for soft robots. This approach combines fast response times with portability, enhancing safety for human-robot interaction in wearable devices.
Area of Science:
- Robotics
- Materials Science
- Mechanical Engineering
Background:
- Soft robots require variable stiffness for human-centric applications.
- Existing methods like pneumatic jamming and thermal phase change have limitations in portability and response time.
- Magnetorheological fluids offer potential for controllable stiffness.
Purpose of the Study:
- To develop a magnetically-controlled variable stiffening mechanism for soft robots.
- To combine the benefits of jamming-based stiffening with magnetorheological fluids.
- To enable electronically controlled stiffness for safer human-robot interaction.
Main Methods:
- A hybrid approach using magnetorheological fluid and jamming principles.
- Investigating the effect of magnetic field strength on stiffening via fluid yield stress and magnet clamping.
- Developing an analytical model to predict stiffness based on magnetic field strength.
- Demonstrating electronic stiffness control using electropermanent magnets.
Main Results:
- The proposed method successfully achieved variable stiffness in magnetorheological jamming beams.
- Magnetic field strength was shown to significantly influence the stiffening effect.
- An analytical model accurately predicted the stiffness response.
- Electronic control of stiffness was demonstrated.
Conclusions:
- Magnetically-controlled stiffening offers a promising solution for variable stiffness in soft robots.
- This approach overcomes limitations of existing methods, enhancing portability and response time.
- The developed mechanism is a step towards safer, electronically-driven soft robots for wearable applications.
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